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LangChain Agent Kiosk — 19-in-1 B2A Intelligence, Action & x402 API maps_leads

How to: LangChain Agent Kiosk — 19-in-1 B2A Intelligence, Action & x402 API maps_leads

client:LangChain transport:streamable-http tool:maps_leads

Add Agent Kiosk — 19-in-1 B2A Intelligence, Action & x402 API to LangChain

  1. 01

    Open pip install langchain-mcp-adapters and merge this in. Keep any servers already there.

from langchain_mcp_adapters.client import MultiServerMCPClient

client = MultiServerMCPClient({
        "agent-kiosk": {
            "transport": "streamable_http",
            "url": "https://agent-kiosk.vercel.app/mcp",
        }
})

tools = await client.get_tools()
  1. 02

    Save the file and restart LangChain.

  2. 03

    Ask for something maps_leads does. LangChain lists the server's tools on connect and calls maps_leads itself — you do not invoke it by name.

  3. 04

    If nothing happens, check the server is running and that Agent Kiosk — 19-in-1 B2A Intelligence, Action & x402 API's identifier in your config matches the one above exactly.

get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs

Same tool, other clients

This list was read from the server itself, by connecting to it and calling tools/list on 17 October 2026. It is what the server actually exposes, not what its listing claims.

Mutating and Read-only are read off each tool's name, not its schema — a hint, not a guarantee. The registry stores tool names only; connect the server for its live schemas.